webgpu-capture-analysis

You can analyze WebGPU Inspector captures to extract validation errors, the GPU object graph, and the ordered command list. Providing a capture JSON generates a prioritized report referencing problematic entries to diagnose issues.

The best way to inspect a WebGPU GPU object graph is by analyzing per-frame captures from MCP tools or saved .json files. This reveals the full object structure and ordered command list for debugging and performance troubleshooting.

Yes, you can use saved .json capture files to troubleshoot WebGPU shader and pipeline issues. The analyzer drills into specific commands, shaders, pipelines, and resources within the capture structure to diagnose problems.

Yes, WebGPU capture analysis works with per-frame captures from MCP tools. It reads the capture structure including objects, commands, and validationErrors to support debugging, shader verification, and performance analysis.

To identify common issues in a WebGPU command list, parse the objects and commands from a WebGPU Inspector capture. The analyzer specifies how to parse these entries and produces a prioritized report referencing problematic commands.

You need to provide a WebGPU capture JSON to generate an analysis report. The analyzer reads the capture structure and produces a structured report of objects, commands, and validation errors for debugging.